Human + AI BPO (agentic BPO) →
AI runs the call. A person closes it.You get the outcome.
AI finishes 60-80% of calls at maturity. A specialist takes the rest live, with full context, in one console. Collections, renewals, sales, support. Paid on results.
Trusted by teams that carry the numbers
BFSI · TELECOM · CONSUMER BRANDS · IN PRODUCTION SINCE 2018
One call. Two legs. Zero seconds on hold.
The AI runs the call until it needs a person. The person arrives already briefed. Watch the moment that every prospect reacts to.
Customer
AI
Agent · first sentence
Customer
"Could you confirm your account number again?"not asked
Same floor. Same KPIs. A third of the seats.
At maturity the AI finishes 60 to 80% of calls end to end. The people who remain take the calls that need a person, briefed before hello. Watch what that does to a 100-seat book.
Illustrative: 100 seats at Rs 31,500 per BPO seat per month (inside the Rs 28,000 to 35,000 range we quote). AI share ramps to about 40% by month 3, 50% by month 4 and 70 to 80% by month 6 on a typical programme. Your number comes from your book.
Named clients. Real results. Ask them yourself.
One system, four layers, and every call teaches it.
Everyone else owns a layer; nobody owns the outcome. One system runs the dialler, the AI agents across voice and chat, the human console and 100% QA. It integrates with your systems of record before it automates a single call, and what every call teaches flows back to the top.
Nobody else owns the outcome. One system: dialler, AI agents across voice and chat, human console, 100% QA. What every call teaches flows back to the top.
AI-native dialler
Campaign logic, redial discipline, compliance windows. 1M+ calls a day.
AI agents · voice + chat
Sales, renewals, retention, recoveries; 14 Indian languages in production.
A warmed, qualified conversation moves to a person in seconds: summary, intent and every captured detail attached. What nobody else has.
Human agent console
People take the close, the save, the settlement today; briefed before hello. In pilot with lenders and a telco today.
100% QA + analytics
Every call audited, AI and human. The learning loop compounds.
Automation that compounds, quarter on quarter.
AI starts with a minority of volume so your KPIs are protected from day one; the ratio shifts as the system learns your business. Meters illustrative of the live dashboard.
AI starts with a minority of volume so your KPIs are protected; the ratio shifts as it learns.
Summary, intent, every captured field. The person starts mid-sentence, not from hello.
Collections, sales, service and onboarding run on the same agent and the same console.
Every AI call and every human call audited, so the floor and the model improve together.
Hindi, English and twelve more, switching mid-call without a transfer.
Point tools sell you a layer; seat platforms sell licences. Oriserve runs the whole loop, priced on the outcome, so nothing you learn is lost between tools.
One loop, priced on the outcome. Nothing you learn is lost between tools.
Your baseline is the floor. We only go up from here.
Six to twelve weeks at the pilot rate, on your real queues, with your KPIs protected from day one and no commitment. Then your committed rate, with outcome-linked terms as an option. Nothing you measure today is allowed to drop.